Triple
T13582168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atkarsk |
E324446
|
entity |
| Predicate | population_2010Census |
P108649
|
FINISHED |
| Object | 25559 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 25559 | Statement: [Atkarsk, population_2010Census, 25559]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: population_2010Census Context triple: [Atkarsk, population_2010Census, 25559]
-
A.
populationTotal2010
chosen
Indicates the total number of individuals in a population as measured or recorded for the year 2010.
-
B.
rankInUS2010Census
Indicates the numerical position of an entity in the ranking of occurrences within the 2010 United States Census.
-
C.
census
Indicates that an official count or survey is conducted to determine the number and characteristics of a population within a defined area or group.
-
D.
populationCensus2021
Indicates that a population count or demographic data is recorded as part of the 2021 census.
-
E.
populationIncludes
Indicates that a population contains or encompasses the specified individual(s) or subgroup(s) as members or elements.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb031e8048190a5f2ea934308036c |
completed | April 12, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69dbae161a0481909f9d3f40ca4e0ac5 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:48 p.m.